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Mistral•Open weights•September 27, 2023

Mistral 7B

Intelligence, Performance & Price Analysis

Source:Artificial Analysis scrapeType:Open weights
Intelligence
2

score

Mistral 7B Instruct scores 2 (estimated) on the Artificial Analysis Intelligence Index, placing it …

vs class avg: 6

Speed
97.5

output tokens/sec

Mistral 7B Instruct generates output at 97.5 tokens per second (based on Mistral's API), which is …

Latency
0.83s

TTFT

Mistral 7B Instruct has a time to first token (TTFT) of 0.83s (based on Mistral's API), which is …

Input Price#63/74
$0.25

/ 1M tokens

Mistral 7B Instruct costs $0.25 per 1M input tokens (somewhat higher than average, median: $0. …

Output Price#44/74
$0.25

/ 1M tokens

Mistral 7B Instruct costs $0.25 per 1M input tokens (somewhat higher than average, median: $0. …

Decision Overview

Ethen's intelligence-driven routing assessment for this model

Overall verdict

Budget-friendly / task-specific model

Best for high-volume, simple, or domain-specific tasks where cost or speed matters more than deep reasoning.

Best for

  • Simple Q&A
  • High-throughput chat
  • Classification
  • Extraction
  • Interactive turn-taking

Weak or unsuitable

  • Complex reasoning
  • Creative writing
  • Multi-step tasks

Routing recommendation

1

Use the fit matrix to compare against cheaper routes when volume rises

Cost pressure

Competitive pricing — $0.25 / M input, $0.25 / M output. Cost pressure is low enough for sustained production use.

Model-fit matrix

Use this model where capability pays for itself; route away where volume, latency, or budget dominate.

Use caseFitReasonRouting note
Complex reasoning & agentic workflowsWeakIntelligence score 2 is better suited for straightforward tasks than multi-step reasoning.Avoid routing complex agentic tasks to this model.
High-volume chat & customer-facingStrongOutput speed 97.5 tokens/sec is adequate for chat.Suitable for chat; monitor latency under concurrent load.
Latency-sensitive applicationsExcellentTTFT 0.83s — among the lowest latencies, suitable for interactive latency-critical use cases.Good first choice for real-time applications.
Cost-sensitive pipelinesExcellentOutput pricing at $0.25 is very competitive for high-volume workloads.Excellent for budget-constrained pipelines; enable caching to reduce costs further.

Cost pressure

Low

Pricing is competitive — input $0.25, output $0.25. Suitable for sustained production use.

Cheaper substitutes

No cheaper substitute is supported by the current price data.

Route away when

  • Extreme scale where even low costs matter

Highlights

Key benchmark results at a glance.

Intelligence

Intelligence position

Open section

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Mistral 7B Instruct scores 2 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 6).

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)gpt-oss-120b (high): 2424AIgpt-oss-120b (high)Mistral 7B: 2.12.1MiMistral 7B

Speed

Speed position

Open section

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Mistral 7B Instruct generates output at 97.5 tokens per second (based on Mistral's API), which is below average compared to other open weight non-reasoning models of similar size (median: 101.8 t/s).

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashMistral Small 3.1: 171171MiMistral Small 3.1Grok 4.3 (high): 164164xGrok 4.3 (high)Mistral Small 3.2: 147147MiMistral Small 3.2Llama 3.1 8B: 144144MLlama 3.1 8BMiniMax-M3: 9999?MiniMax-M3Mistral 7B: 9898MiMistral 7BMinistral 3 8B: 9393?Ministral 3 8BGPT-5.5 (xhigh): 8888AIGPT-5.5 (xhigh)

Context, Cost & Pricing

Price/value position

Open section

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Pricing is competitive — input $0.25, output $0.25. Suitable for sustained production use.

$0.00$1.00$2.00$3.00$4.00$5.00DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)MiniMax-M3: $0.12$0.12?MiniMax-M3Grok 4.3 (high): $0.14$0.14xGrok 4.3 (high)Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraKimi K2.6: $0.35$0.35KKimi K2.6GLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…

Intelligence & Quality

Benchmark scores and quality indices measuring model capability.

AA-Omniscience Index

AA-Omniscience Index (higher is better) measures knowledge reliability and hallucination. It rewards correct answers, penalizes hallucinations, and has no penalty for refusing to answer. Scores range from -100 to 100, where 0 means as many correct as incorrect answers, and negative scores mean more incorrect than correct. · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

-100-50050Claude Fable 5 (with fallback): 4040AClaude Fable 5 (with fal…Gemini 3.5 Flash: 2323GGemini 3.5 FlashGPT-5.5 (xhigh): 2020AIGPT-5.5 (xhigh)Grok 4.3 (high): 1818xGrok 4.3 (high)Kimi K2.6: 6.46.4KKimi K2.6Muse Spark: 4.14.1?Muse SparkGLM-5.2 (max): 44?GLM-5.2 (max)MiniMax-M3: 1.41.4?MiniMax-M3Nemotron 3 Ultra: -0.8-0.8NNemotron 3 UltraDeepSeek V4 Pro (max): -10-10DDeepSeek V4 Pro (max)Mistral 7B: -64.8-64.8MiMistral 7B

Artificial Analysis Intelligence Index by Open Weights / Proprietary

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)

Artificial Analysis Intelligence Index

Artificial Analysis Intelligence Index v4.1 incorporates 9 evaluations: GDPval-AA v2, 𝜏³-Banking, Terminal-Bench v2.1, SciCode, Humanity's Last Exam, GPQA Diamond, CritPt, AA-Omniscience, AA-LCR · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)

Artificial Analysis Openness Index: Score

Openness Index assesses model openness on a 0 to 100 normalized scale (higher is more open) · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

050100Nemotron 3 Ultra: 8383NNemotron 3 UltraGranite 4.1 30B: 6161?Granite 4.1 30BDeepSeek V4 Pro (max): 5050DDeepSeek V4 Pro (max)Gemma 3 27B: 5050?Gemma 3 27BGemma 3 12B: 5050?Gemma 3 12BGLM-5.2 (max): 4444?GLM-5.2 (max)gpt-oss-120b (high): 3939AIgpt-oss-120b (high)Qwen3.6 27B: 3939QQwen3.6 27BMistral Small 3.2: 3939MiMistral Small 3.2Kimi K2.6: 3333KKimi K2.6

Intelligence

Artificial Analysis Intelligence Index · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0204060Claude Fable 5 (with fallback): 6060AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 5555AIGPT-5.5 (xhigh)GLM-5.2 (max): 5151?GLM-5.2 (max)Gemini 3.5 Flash: 5050GGemini 3.5 FlashMiniMax-M3: 4444?MiniMax-M3DeepSeek V4 Pro (max): 4444DDeepSeek V4 Pro (max)Kimi K2.6: 4444KKimi K2.6Muse Spark: 4343?Muse SparkNemotron 3 Ultra: 3838NNemotron 3 UltraGrok 4.3 (high): 3838xGrok 4.3 (high)Mistral 7B: 2.12.1MiMistral 7B

Speed & Throughput

Output tokens per second and generation throughput.

Output Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashMistral Small 3.1: 171171MiMistral Small 3.1Grok 4.3 (high): 164164xGrok 4.3 (high)Mistral Small 3.2: 147147MiMistral Small 3.2Llama 3.1 8B: 144144MLlama 3.1 8BMiniMax-M3: 9999?MiniMax-M3Mistral 7B: 9898MiMistral 7B

Speed

Output tokens per second · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

088175263350gpt-oss-120b (high): 314314AIgpt-oss-120b (high)Nemotron 3 Ultra: 250250NNemotron 3 UltraGLM-5.2 (max): 218218?GLM-5.2 (max)Gemini 3.5 Flash: 192192GGemini 3.5 FlashGrok 4.3 (high): 164164xGrok 4.3 (high)MiniMax-M3: 9999?MiniMax-M3Mistral 7B: 9898MiMistral 7BGPT-5.5 (xhigh): 8888AIGPT-5.5 (xhigh)Kimi K2.6: 7676KKimi K2.6DeepSeek V4 Pro (max): 7272DDeepSeek V4 Pro (max)

Latency & Response Time

Time to first token and end-to-end response latency.

End-to-End Response Time

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0s2.5s5s7.5s10sQwen3.6 27B: 8.3s8.3sQQwen3.6 27BDevstral Small 2: 7.4s7.4s?Devstral Small 2Claude Fable 5 (with fallback): 7.1s7.1sAClaude Fable 5 (with fal…DeepSeek V4 Pro (max): 7s7sDDeepSeek V4 Pro (max)Kimi K2.6: 6.6s6.6sKKimi K2.6Ministral 3 14B: 6.4s6.4s?Ministral 3 14BGPT-5.5 (xhigh): 5.7s5.7sAIGPT-5.5 (xhigh)Ministral 3 8B: 5.4s5.4s?Ministral 3 8BMistral 7B: 5.1s5.1sMiMistral 7BMiniMax-M3: 5s5s?MiniMax-M3

Latency: Time To First Answer Token

Seconds to first answer token received · Accounts for reasoning model 'thinking' time · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0s25s50s75s100sDeepSeek V4 Pro (max): 61s61sDDeepSeek V4 Pro (max)Kimi K2.6: 58s58sKKimi K2.6MiniMax-M3: 20s20s?MiniMax-M3GLM-5.2 (max): 9.2s9.2s?GLM-5.2 (max)Nemotron 3 Ultra: 9.1s9.1sNNemotron 3 Ultragpt-oss-120b (high): 6.4s6.4sAIgpt-oss-120b (high)Mistral Small 3.2: 0s0sMiMistral Small 3.2Mistral Small 3.1: 0s0sMiMistral Small 3.1Ministral 3 8B: 0s0s?Ministral 3 8BMistral 7B: 0s0sMiMistral 7B

Context, Cost & Pricing

Context window size, cost per task, and token pricing.

Context Window

Context window: tokens limit · Higher is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MGemini 3.5 Flash: 1M1MGGemini 3.5 FlashClaude Fable 5 (with fallback): 1M1MAClaude Fable 5 (with fal…GLM-5.2 (max): 1M1M?GLM-5.2 (max)DeepSeek V4 Pro (max): 1M1MDDeepSeek V4 Pro (max)Grok 4.3 (high): 1M1MxGrok 4.3 (high)MiniMax-M3: 1M1M?MiniMax-M3GPT-5.5 (xhigh): 922k922kAIGPT-5.5 (xhigh)Nemotron 3 Ultra: 262k262kNNemotron 3 UltraMuse Spark: 262k262k?Muse SparkQwen3.6 27B: 262k262kQQwen3.6 27B

Cost per Intelligence Index Task

Weighted average cost (USD) per Artificial Analysis Intelligence Index task, segmented by token type. Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

00.51Claude Fable 5 (with fallback): 0.40.4AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 0.10.1AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 0.10.1GGemini 3.5 FlashQwen3.6 27B: 00QQwen3.6 27BGLM-5.2 (max): 00?GLM-5.2 (max)Kimi K2.6: 00KKimi K2.6Nemotron 3 Ultra: 00NNemotron 3 UltraMiniMax-M3: 00?MiniMax-M3Grok 4.3 (high): 00xGrok 4.3 (high)DeepSeek V4 Pro (max): 00DDeepSeek V4 Pro (max)

Cost per Task

Weighted average cost (USD) per Intelligence Index task · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

$0.00$1.00$2.00$3.00$4.00$5.00Claude Fable 5 (with fallback): $2.75$2.75AClaude Fable 5 (with fal…GPT-5.5 (xhigh): $0.86$0.86AIGPT-5.5 (xhigh)Gemini 3.5 Flash: $0.59$0.59GGemini 3.5 FlashGLM-5.2 (max): $0.37$0.37?GLM-5.2 (max)Kimi K2.6: $0.35$0.35KKimi K2.6Nemotron 3 Ultra: $0.24$0.24NNemotron 3 UltraGrok 4.3 (high): $0.14$0.14xGrok 4.3 (high)MiniMax-M3: $0.12$0.12?MiniMax-M3gpt-oss-120b (high): $0.06$0.06AIgpt-oss-120b (high)DeepSeek V4 Pro (max): $0.04$0.04DDeepSeek V4 Pro (max)

Cost to Run Artificial Analysis Intelligence Index

Cost (USD) to run all evaluations in the Artificial Analysis Intelligence Index · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0200400600Claude Fable 5 (with fallback): 508508AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 132132AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 114114GGemini 3.5 FlashQwen3.6 27B: 8888QQwen3.6 27BNemotron 3 Ultra: 3434NNemotron 3 UltraGLM-5.2 (max): 3333?GLM-5.2 (max)Kimi K2.6: 2525KKimi K2.6MiniMax-M3: 1515?MiniMax-M3Grok 4.3 (high): 1313xGrok 4.3 (high)DeepSeek V4 Pro (max): 7.27.2DDeepSeek V4 Pro (max)

Pricing: Cache Hit, Input, and Output

Price (USD per M Tokens) · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MClaude Fable 5 (with fallback): 6161AClaude Fable 5 (with fal…GPT-5.5 (xhigh): 3636AIGPT-5.5 (xhigh)Gemini 3.5 Flash: 1111GGemini 3.5 FlashGLM-5.2 (max): 6.16.1?GLM-5.2 (max)Kimi K2.6: 5.15.1KKimi K2.6Qwen3.6 27B: 4.24.2QQwen3.6 27BGrok 4.3 (high): 44xGrok 4.3 (high)Nemotron 3 Ultra: 3.63.6NNemotron 3 UltraMiniMax-M3: 1.61.6?MiniMax-M3DeepSeek V4 Pro (max): 1.31.3DDeepSeek V4 Pro (max)Mistral 7B: 0.50.5MiMistral 7Bcache Hitinputoutput

Time per Intelligence Index Task

Weighted average decode time (minutes) per task; excludes TTFT and overhead time · Lower is better · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0510Kimi K2.6: 8.28.2KKimi K2.6DeepSeek V4 Pro (max): 6.86.8DDeepSeek V4 Pro (max)Claude Fable 5 (with fallback): 4.84.8AClaude Fable 5 (with fal…MiniMax-M3: 3.93.9?MiniMax-M3GPT-5.5 (xhigh): 33AIGPT-5.5 (xhigh)Qwen3.6 27B: 33QQwen3.6 27BGLM-5.2 (max): 2.82.8?GLM-5.2 (max)Ministral 3 8B: 2.52.5?Ministral 3 8BMinistral 3 14B: 2.22.2?Ministral 3 14BGemini 3.5 Flash: 2.22.2GGemini 3.5 Flash

Architecture & Scale

Model size, parameters, and architectural details.

Model Size: Total and Active Parameters

Comparison between total model parameters and parameters active during inference · Evaluation results measured independently by Artificial Analysis

Source and methodology are summarized below

Chart source and provenance are listed in Methodology & sources below.

0250k500k750k1MDeepSeek V4 Pro (max): 1.6k1.6kDDeepSeek V4 Pro (max)Kimi K2.6: 1k1kKKimi K2.6GLM-5.2 (max): 753753?GLM-5.2 (max)Nemotron 3 Ultra: 550550NNemotron 3 UltraMiniMax-M3: 428428?MiniMax-M3gpt-oss-120b (high): 117117AIgpt-oss-120b (high)EXAONE 4.5 33B: 3434?EXAONE 4.5 33BGranite 4.1 30B: 3030?Granite 4.1 30BQwen3.6 27B: 2828QQwen3.6 27BGemma 3 27B: 2727?Gemma 3 27BMistral 7B: 77MiMistral 7Bpassive Paramsactive Params

Specifications

Technical Specifications

Mistral 7B Instruct scores 2 (estimated) on the Artificial Analysis Intelligence Index, placing it at the lower end among other open weight non-reasoning models of similar size (median: 6). Mistral 7B Instruct generates output at 97.5 tokens per second (based on Mistral's API), which is below average compared to other open weight non-reasoning models of similar size (median: 101.8 t/s). Mistral 7B Instruct costs $0.25 per 1M input tokens (somewhat higher than average, median: $0.15) and $0.25 per 1M output tokens (better than average, median: $0.32), based on Mistral's API.

Mistral 7B

Model type
Open weights
Reasoning
No
Input modalities
Mistral 7B Instruct supports text only input.
Output modalities
Mistral 7B Instruct supports text only output.
Context window
Mistral 7B Instruct has a context window of 8.2k tokens. This determines how much text and conversation history the model can process in a single request.
Open weights / source
Yes, Mistral 7B Instruct is open weights. The model weights are publicly available and can be downloaded for self-hosting.
Parameters
Mistral 7B Instruct has 7 billion parameters.
License
Mistral 7B Instruct is released under the Apache 2.0 license. This license allows commercial use.
API availability
Yes, Mistral 7B Instruct is available via API through 2 providers.

Methodology & Provenance

This page is rendered from the normalized profile and page JSON for Mistral 7B.

Benchmark values are preserved as normalized; only layout, disclosure ordering, and typography are adjusted for readability.

Frequently Asked Questions